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Quantitative Research Analyst - Python / SQL

Quantitative Research Analyst - Python / SQL

Ashika GroupMumbai
30+ days ago
Job description

We are seeking a highly analytical Quantitative Research Analyst to join our AIF Quant Fund team.

The ideal candidate brings strong buy-side experience in systematic investment strategies and will play a key role in developing, implementing, and maintaining sophisticated quantitative models that drive our alternative investment approach.

About the Role :

The Quantitative Research Analyst will be responsible for various key responsibilities that include model development, data infrastructure management, strategy testing, risk management, and technology :

Model Development & Research :

  • Design and build multi-factor models for equity, fixed income, and alternative asset classes.
  • Develop alpha generation signals and systematic trading strategies across multiple time horizons.
  • Research and implement new quantitative factors using academic literature and market insights.
  • Enhance existing models through continuous performance monitoring and iterative improvements.

Data Infrastructure & Analytics :

  • Manage large-scale financial datasets using Snowflake, SQL, and cloud-based platforms.
  • Build automated data pipelines for real-time and historical market data processing.
  • Ensure data quality, integrity, and optimize query performance for research workflows.
  • Develop efficient storage solutions for multi-asset research environments.
  • Strategy Testing & Validation :

  • Conduct comprehensive back testing across multiple market cycles using robust statistical methods.
  • Perform out-of-sample testing, walk-forward analysis, and Monte Carlo simulations.
  • Generate detailed performance attribution and risk decomposition analysis.
  • Document model assumptions, limitations, and validation results.
  • Risk Management & Monitoring :

  • Build risk management frameworks including VaR, stress testing, and scenario analysis.
  • Monitor portfolio exposures, concentration risks, and factor loadings in real-time.
  • Develop automated alerting systems for model degradation and performance anomalies.
  • Support portfolio optimization and construction processes.
  • Technology & Automation :

  • Develop Python-based research and production systems with focus on scalability.
  • Create automated model monitoring, reporting, and alert generation frameworks.
  • Collaborate on technology infrastructure decisions and platform evaluations.
  • Maintain code quality and documentation standards.
  • Qualifications :

    Professional Experience :

  • 48 years of buy-side quantitative research in asset management, hedge funds, or proprietary trading.
  • Proven track record in systematic investment strategy development and implementation.
  • Experience with institutional-grade quantitative research and portfolio management.
  • Technical Proficiency :

  • Programming : Advanced Python (pandas, numpy, scipy, scikit-learn, quantitative libraries).
  • Database : Hands-on Snowflake and SQL experience with large-scale data environments.
  • Analytics : Statistical modeling, econometrics, and machine learning techniques.
  • Platforms : Bloomberg Terminal, Refinitiv, or equivalent financial data systems.
  • Quantitative Expertise :

  • Deep understanding of factor models, portfolio optimization, and systematic risk management.
  • Knowledge of derivatives pricing, fixed income analytics, and alternative investment structures.
  • Experience with market microstructure analysis and high-frequency data processing.
  • Familiarity with performance attribution methodologies and benchmark & Analysis :
  • Strong problem-solving abilities with exceptional attention to detail.
  • Ability to translate quantitative insights into actionable investment recommendations.
  • Excellent presentation skills for communicating complex research to stakeholders.
  • Collaborative approach to working in cross-functional investment teams.
  • Educational Background :

  • Master's degree in Finance, Economics, Mathematics, Statistics, Physics, or Engineering.
  • CQF, CFA, FRM or equivalent professional certification preferred.
  • Strong academic foundation with demonstrated quantitative aptitude.
  • Regulatory Awareness :

  • Understanding of SEBI AIF regulations and compliance frameworks.
  • Knowledge of investment management risk controls and regulatory reporting requirements.
  • Preferred Skills :

  • Industry Recognition : Published quantitative research or contributions to investment thought leadership.
  • Multi-Asset Expertise : Experience across equity, fixed income, commodities, and alternative investments.
  • Innovation Mindset : Interest in machine learning, alternative data, and emerging quantitative techniques.
  • Advanced Programming : Proficiency in additional languages such as R, C++, or Julia; experience with version control (Git) and code optimization techniques.
  • Domain Specialization : Strong background in specific asset classes such as Indian equities & emerging markets.
  • Entrepreneurial Drive : Self-motivated individual comfortable building scalable systems from ground-up in a growing AIF technology environment.
  • Industry Certifications : Additional qualifications or specialized quantitative finance credentials will be a plus.
  • Alternative Data & AI : Experience with NLP and AI techniques for extracting investment signals from alternative text data sources (such as Filings, Analyst Reports and Transcripts) and developing reasoning-based AI models for systematic decision-making will be a plus.
  • Pay range and compensation package : Competitive with industry standards, including performance-based incentives.

    (ref : hirist.tech)

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